RepoMix - MCP Server

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Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file.It is perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

New: Repomix Website & Discord Community!

Try Repomix in your browser at repomix.com

Join our Discord Server for support and discussion

We look forward to seeing you there!

Features

AI-Optimized: Formats your codebase in a way that's easy for AI to understand and process.

Token Counting: Provides token counts for each file and the entire repository, useful for LLM context limits.

Simple to Use: You need just one command to pack your entire repository.

Customizable: Easily configure what to include or exclude.

Git-Aware: Automatically respects your .gitignore files and .git/info/exclude.

Security-Focused: Incorporates Secretlint for robust security checks to detect and prevent inclusion of sensitive information.

Code Compression: The --compress option uses Tree-sitter to extract key code elements, reducing token count while preserving structure.

Quick Start

Using the CLI Tool `>_`

You can try Repomix instantly in your project directory without installation:

Or install globally for repeated use:

That's it! Repomix will generate a repomix-output.xml file in your current directory, containing your entire repository in an AI-friendly format.

You can then send this file to an AI assistant with a prompt like:

Repomix File Usage 1

When you propose specific changes, the AI might be able to generate code accordingly. With features like Claude's Artifacts, you could potentially output multiple files, allowing for the generation of multiple interdependent pieces of code.

Repomix File Usage 2

Happy coding!

Using The Website

Want to try it quickly? Visit the official website at repomix.com. Simply enter your repository name, fill in any optional details, and click the Pack button to see your generated output.

Available Options

The website offers several convenient features:

Customizable output format (XML, Markdown, or Plain Text)

Instant token count estimation

Much more!

Using The VSCode Extension

A community-maintained VSCode extension called Repomix Runner (created by massdo) lets you run Repomix right inside your editor with just a few clicks. Run it on any folder, manage outputs seamlessly, and control everything through VSCode's intuitive interface.

Want your output as a file or just the content? Need automatic cleanup? This extension has you covered. Plus, it works smoothly with your existing repomix.config.json.

Try it now on the VSCode Marketplace! Source code is available on GitHub.

Alternative Tools

If you're using Python, you might want to check out Gitingest, which is better suited for Python ecosystem and data science workflows: https://github.com/cyclotruc/gitingest

Usage

To pack your entire repository:

To pack a specific directory:

To pack specific files or directories using glob patterns:

To exclude specific files or directories:

To pack a remote repository:

To compress the output:

To initialize a new configuration file (repomix.config.json):

Once you have generated the packed file, you can use it with Generative AI tools like ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Docker Usage

You can also run Repomix using Docker.This is useful if you want to run Repomix in an isolated environment or prefer using containers.

Basic usage (current directory):

To pack a specific directory:

Process a remote repository and output to a output directory:

Prompt Examples

Once you have generated the packed file with Repomix, you can use it with AI tools like ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more. Here are some example prompts to get you started:

Code Review and Refactoring

For a comprehensive code review and refactoring suggestions:

Documentation Generation

To generate project documentation:

Test Case Generation

For generating test cases:

Code Quality Assessment

Evaluate code quality and adherence to best practices:

Library Overview

Get a high-level understanding of the library

Feel free to modify these prompts based on your specific needs and the capabilities of the AI tool you're using.

Community Discussion

Check out our community discussion where users share:

Which AI tools they're using with Repomix

Effective prompts they've discovered

How Repomix has helped them

Tips and tricks for getting the most out of AI code analysis

Feel free to join the discussion and share your own experiences! Your insights could help others make better use of Repomix.

Output File Format

Repomix generates a single file with clear separators between different parts of your codebase.To enhance AI comprehension, the output file begins with an AI-oriented explanation, making it easier for AI models to understand the context and structure of the packed repository.

XML Format (default)

The XML format structures the content in a hierarchical manner:

For those interested in the potential of XML tags in AI contexts:https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags

When your prompts involve multiple components like context, instructions, and examples, XML tags can be a game-changer. They help Claude parse your prompts more accurately, leading to higher-quality outputs.

This means that the XML output from Repomix is not just a different format, but potentially a more effective way to feed your codebase into AI systems for analysis, code review, or other tasks.

Markdown Format

To generate output in Markdown format, use the --style markdown option:

The Markdown format structures the content in a hierarchical manner:

This format provides a clean, readable structure that is both human-friendly and easily parseable by AI systems.

Plain Text Format

To generate output in plain text format, use the --style plain option:

Command Line Options

Basic Options

-v, --version: Show tool version

Output Options

-o, --output <file>: Specify the output file name

--style <style>: Specify the output style (xml, markdown, plain)

--parsable-style: Enable parsable output based on the chosen style schema. Note that this can increase token count.

--compress: Perform intelligent code extraction, focusing on essential function and class signatures to reduce token count

--output-show-line-numbers: Show line numbers in the output

--copy: Additionally copy generated output to system clipboard

--no-file-summary: Disable file summary section output

--no-directory-structure: Disable directory structure section output

--remove-comments: Remove comments from supported file types

--remove-empty-lines: Remove empty lines from the output

--header-text <text>: Custom text to include in the file header

--instruction-file-path <path>: Path to a file containing detailed custom instructions

--include-empty-directories: Include empty directories in the output

--no-git-sort-by-changes: Disable sorting files by git change count (enabled by default)

Filter Options

--include <patterns>: List of include patterns (comma-separated)

-i, --ignore <patterns>: Additional ignore patterns (comma-separated)

--no-gitignore: Disable .gitignore file usage

--no-default-patterns: Disable default patterns

Remote Repository Options

--remote <url>: Process a remote Git repository

--remote-branch <name>: Specify the remote branch name, tag, or commit hash (defaults to repository default branch)

Configuration Options

-c, --config <path>: Path to a custom config file

--init: Create config file

--global: Use global config

Security Options

--no-security-check: Disable security check

Token Count Options

--token-count-encoding <encoding>: Specify token count encoding used by OpenAI's tiktoken tokenizer (e.g., o200k_base for GPT-4o, cl100k_base for GPT-4/3.5). See tiktoken model.py for encoding details.

MCP

--mcp: Run as a MCP (Model Context Protocol) server

Other Options

--top-files-len <number>: Number of top files to display in the summary

--verbose: Enable verbose logging

--quiet: Disable all output to stdout

Examples:

Updating Repomix

To update a globally installed Repomix:

Using npx repomix is generally more convenient as it always uses the latest version.

Remote Repository Processing

Repomix supports processing remote Git repositories without the need for manual cloning. This feature allows you to quickly analyze any public Git repository with a single command.

To process a remote repository, use the --remote option followed by the repository URL:

You can also use GitHub's shorthand format:

You can specify the branch name, tag, or commit hash:

Or use a specific commit hash:

Code Compression

The --compress option utilizes Tree-sitter to perform intelligent code extraction, focusing on essential function and class signatures while removing implementation details. This can help reduce token count while retaining important structural information.

For example, this code:

Will be compressed to:

[!NOTE] This is an experimental feature that we'll be actively improving based on user feedback and real-world usage

MCP Server Integration

Repomix supports the Model Context Protocol (MCP), allowing AI assistants to directly interact with your codebase. When run as an MCP server, Repomix provides tools that enable AI assistants to package local or remote repositories for analysis without requiring manual file preparation.

Configuring MCP Servers

To use Repomix as an MCP server with AI assistants like Claude, you need to configure the MCP settings:

For VS Code:

You can install the Repomix MCP server in VS Code using one of these methods:

Using the Install Badge:

![Install in VS Code](https://img.shields.io/badge/VS_Code-Install_Server-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white) ![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install_Server-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)

Using the Command Line:

For VS Code Insiders:

For Cline (VS Code extension):

Edit the cline_mcp_settings.json file:

For Cursor:

In Cursor, add a new MCP server from Cursor Settings > MCP > + Add new global MCP server with a configuration similar to Cline.

For Claude Desktop:

Edit the claude_desktop_config.json file with similar configuration to Cline's config.

Once configured, your AI assistant can directly use Repomix's capabilities to analyze codebases without manual file preparation, making code analysis workflows more efficient.

Available MCP Tools

When running as an MCP server, Repomix provides the following tools:

pack_codebase: Package a local code directory into a consolidated file for AI analysis

Parameters:

pack_remote_repository: Fetch, clone and package a GitHub repository

Parameters:

read_repomix_output: Read the contents of a Repomix output file in environments where direct file access is not possible

Parameters:

Features:

file_system_read_file: Read a file using an absolute path with security validation

Parameters:

Security features:

file_system_read_directory: List contents of a directory using an absolute path

Parameters:

Features:

Configuration

Create a repomix.config.json file in your project root for custom configurations.

Here's an explanation of the configuration options:

[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]

The configuration file supports JSON5 syntax, which allows:

Comments (both single-line and multi-line)

Trailing commas in objects and arrays

Unquoted property names

More relaxed string syntax

Example configuration:

Global Configuration

To create a global configuration file:

The global configuration file will be created in:

Windows: %LOCALAPPDATA%\Repomix\repomix.config.json

macOS/Linux: $XDG_CONFIG_HOME/repomix/repomix.config.json or ~/.config/repomix/repomix.config.json

Note: Local configuration (if present) takes precedence over global configuration.

Include and Ignore

Include Patterns

Repomix now supports specifying files to include using glob patterns. This allows for more flexible and powerful file selection:

Use **/*.js to include all JavaScript files in any directory

Use src/**/* to include all files within the src directory and its subdirectories

Combine multiple patterns like ["src/**/*.js", "**/*.md"] to include JavaScript files in src and all Markdown files

Ignore Patterns

Repomix offers multiple methods to set ignore patterns for excluding specific files or directories during the packing process:

.gitignore: By default, patterns listed in your project's .gitignore files and .git/info/exclude are used. This behavior can be controlled with the ignore.useGitignore setting or the --no-gitignore cli option.

Default patterns: Repomix includes a default list of commonly excluded files and directories (e.g., node_modules, .git, binary files). This feature can be controlled with the ignore.useDefaultPatterns setting or the --no-default-patterns cli option. Please see defaultIgnore.ts for more details.

.repomixignore: You can create a .repomixignore file in your project root to define Repomix-specific ignore patterns. This file follows the same format as .gitignore.

Custom patterns: Additional ignore patterns can be specified using the ignore.customPatterns option in the configuration file. You can overwrite this setting with the -i, --ignore command line option.

Priority Order (from highest to lowest):

Custom patterns ignore.customPatterns

.repomixignore

.gitignore and .git/info/exclude (if ignore.useGitignore is true and --no-gitignore is not used)

Default patterns (if ignore.useDefaultPatterns is true and --no-default-patterns is not used)

This approach allows for flexible file exclusion configuration based on your project's needs. It helps optimize the size of the generated pack file by ensuring the exclusion of security-sensitive files and large binary files, while preventing the leakage of confidential information.

Note: Binary files are not included in the packed output by default, but their paths are listed in the "Repository Structure" section of the output file. This provides a complete overview of the repository structure while keeping the packed file efficient and text-based.

Custom Instruction

The output.instructionFilePath option allows you to specify a separate file containing detailed instructions or context about your project. This allows AI systems to understand the specific context and requirements of your project, potentially leading to more relevant and tailored analysis or suggestions.

Here's an example of how you might use this feature:

Create a file named repomix-instruction.md in your project root:

In your repomix.config.json, add the instructionFilePath option:

When Repomix generates the output, it will include the contents of repomix-instruction.md in a dedicated section.

Note: The instruction content is appended at the end of the output file. This placement can be particularly effective for AI systems. For those interested in understanding why this might be beneficial, Anthropic provides some insights in their documentation:https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/long-context-tips

Put long-form data at the top: Place your long documents and inputs (~20K+ tokens) near the top of your prompt, above your query, instructions, and examples. This can significantly improve Claude's performance across all models. Queries at the end can improve response quality by up to 30% in tests, especially with complex, multi-document inputs.

Comment Removal

When output.removeComments is set to true, Repomix will attempt to remove comments from supported file types. This feature can help reduce the size of the output file and focus on the essential code content.

Supported languages include:HTML, CSS, JavaScript, TypeScript, Vue, Svelte, Python, PHP, Ruby, C, C#, Java, Go, Rust, Swift, Kotlin, Dart, Shell, and YAML.

Note: The comment removal process is conservative to avoid accidentally removing code. In complex cases, some comments might be retained.

Security Check

Repomix includes a security check feature that uses Secretlint to detect potentially sensitive information in your files. This feature helps you identify possible security risks before sharing your packed repository.

The security check results will be displayed in the CLI output after the packing process is complete. If any suspicious files are detected, you'll see a list of these files along with a warning message.

Example output:

By default, Repomix's security check feature is enabled. You can disable it by setting security.enableSecurityCheck to false in your configuration file:

Or using the --no-security-check command line option:

[!NOTE] Disabling security checks may expose sensitive information. Use this option with caution and only when necessary, such as when working with test files or documentation that contains example credentials.

Using Repomix as a Library

In addition to using Repomix as a CLI tool, you can also use it as a library in your Node.js applications.

Installation

Basic Usage

Process Remote Repository

Using Core Components

If you need more control, you can use the low-level APIs:

For more examples, check the source code at website/server/src/remoteRepo.ts which demonstrates how repomix.com uses the library.

Contribution

We welcome contributions from the community! To get started, please refer to our Contributing Guide.

Contributors

Privacy Policy

Repomix CLI Tool

Data Collection: The Repomix CLI tool does not collect, transmit, or store any user data, telemetry, or repository information.

Network Usage: Repomix CLI operates fully offline after installation. The only cases where an internet connection is needed are:

Security Considerations: Since all processing is local, Repomix CLI is safe to use with private and internal repositories.

Repomix Website ([repomix.com](https://repomix.com/))

Data Collection: The Repomix website uses Google Analytics to collect usage data, such as page views and user interactions. This helps us understand how the website is used and improve the user experience.

Liability Disclaimer

Repomix (both the CLI tool and the website) is provided "as is" without any warranties or guarantees.We do not take responsibility for how the generated output is used, including but not limited to its accuracy, legality, or any potential consequences arising from its use.

License

This project is licensed under the MIT License.

New: Repomix Website & Discord Community!

Try Repomix in your browser at repomix.com

Join our Discord Server for support and discussion

We look forward to seeing you there!

Features

AI-Optimized: Formats your codebase in a way that's easy for AI to understand and process.

Token Counting: Provides token counts for each file and the entire repository, useful for LLM context limits.

Simple to Use: You need just one command to pack your entire repository.

Customizable: Easily configure what to include or exclude.

Git-Aware: Automatically respects your .gitignore files and .git/info/exclude.

Security-Focused: Incorporates Secretlint for robust security checks to detect and prevent inclusion of sensitive information.

Code Compression: The --compress option uses Tree-sitter to extract key code elements, reducing token count while preserving structure.

Quick Start

Using the CLI Tool `>_`

You can try Repomix instantly in your project directory without installation:

Or install globally for repeated use:

That's it! Repomix will generate a repomix-output.xml file in your current directory, containing your entire repository in an AI-friendly format.

You can then send this file to an AI assistant with a prompt like:

Repomix File Usage 1

Repomix File Usage 2

Happy coding!

Using The Website

Want to try it quickly? Visit the official website at repomix.com. Simply enter your repository name, fill in any optional details, and click the Pack button to see your generated output.

Available Options

The website offers several convenient features:

Customizable output format (XML, Markdown, or Plain Text)

Instant token count estimation

Much more!

Using The VSCode Extension

Want your output as a file or just the content? Need automatic cleanup? This extension has you covered. Plus, it works smoothly with your existing repomix.config.json.

Try it now on the VSCode Marketplace! Source code is available on GitHub.

Alternative Tools

If you're using Python, you might want to check out Gitingest, which is better suited for Python ecosystem and data science workflows: https://github.com/cyclotruc/gitingest

Usage

To pack your entire repository:

To pack a specific directory:

To pack specific files or directories using glob patterns:

To exclude specific files or directories:

To pack a remote repository:

To compress the output:

To initialize a new configuration file (repomix.config.json):

Once you have generated the packed file, you can use it with Generative AI tools like ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Docker Usage

You can also run Repomix using Docker.This is useful if you want to run Repomix in an isolated environment or prefer using containers.

Basic usage (current directory):

To pack a specific directory:

Process a remote repository and output to a output directory:

Prompt Examples

Code Review and Refactoring

For a comprehensive code review and refactoring suggestions:

Documentation Generation

To generate project documentation:

Test Case Generation

For generating test cases:

Code Quality Assessment

Evaluate code quality and adherence to best practices:

Library Overview

Get a high-level understanding of the library

Feel free to modify these prompts based on your specific needs and the capabilities of the AI tool you're using.

Community Discussion

Check out our community discussion where users share:

Which AI tools they're using with Repomix

Effective prompts they've discovered

How Repomix has helped them

Tips and tricks for getting the most out of AI code analysis

Feel free to join the discussion and share your own experiences! Your insights could help others make better use of Repomix.

Output File Format

XML Format (default)

The XML format structures the content in a hierarchical manner:

For those interested in the potential of XML tags in AI contexts:https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags

When your prompts involve multiple components like context, instructions, and examples, XML tags can be a game-changer. They help Claude parse your prompts more accurately, leading to higher-quality outputs.

This means that the XML output from Repomix is not just a different format, but potentially a more effective way to feed your codebase into AI systems for analysis, code review, or other tasks.

Markdown Format

To generate output in Markdown format, use the --style markdown option:

The Markdown format structures the content in a hierarchical manner:

This format provides a clean, readable structure that is both human-friendly and easily parseable by AI systems.

Plain Text Format

To generate output in plain text format, use the --style plain option:

Command Line Options

Basic Options

-v, --version: Show tool version

Output Options

-o, --output <file>: Specify the output file name

--style <style>: Specify the output style (xml, markdown, plain)

--parsable-style: Enable parsable output based on the chosen style schema. Note that this can increase token count.

--compress: Perform intelligent code extraction, focusing on essential function and class signatures to reduce token count

--output-show-line-numbers: Show line numbers in the output

--copy: Additionally copy generated output to system clipboard

--no-file-summary: Disable file summary section output

--no-directory-structure: Disable directory structure section output

--remove-comments: Remove comments from supported file types

--remove-empty-lines: Remove empty lines from the output

--header-text <text>: Custom text to include in the file header

--instruction-file-path <path>: Path to a file containing detailed custom instructions

--include-empty-directories: Include empty directories in the output

--no-git-sort-by-changes: Disable sorting files by git change count (enabled by default)

Filter Options

--include <patterns>: List of include patterns (comma-separated)

-i, --ignore <patterns>: Additional ignore patterns (comma-separated)

--no-gitignore: Disable .gitignore file usage

--no-default-patterns: Disable default patterns

Remote Repository Options

--remote <url>: Process a remote Git repository

--remote-branch <name>: Specify the remote branch name, tag, or commit hash (defaults to repository default branch)

Configuration Options

-c, --config <path>: Path to a custom config file

--init: Create config file

--global: Use global config

Security Options

--no-security-check: Disable security check

Token Count Options

--token-count-encoding <encoding>: Specify token count encoding used by OpenAI's tiktoken tokenizer (e.g., o200k_base for GPT-4o, cl100k_base for GPT-4/3.5). See tiktoken model.py for encoding details.

MCP

--mcp: Run as a MCP (Model Context Protocol) server

Other Options

--top-files-len <number>: Number of top files to display in the summary

--verbose: Enable verbose logging

--quiet: Disable all output to stdout

Examples:

Updating Repomix

To update a globally installed Repomix:

Using npx repomix is generally more convenient as it always uses the latest version.

Remote Repository Processing

Repomix supports processing remote Git repositories without the need for manual cloning. This feature allows you to quickly analyze any public Git repository with a single command.

To process a remote repository, use the --remote option followed by the repository URL:

You can also use GitHub's shorthand format:

You can specify the branch name, tag, or commit hash:

Or use a specific commit hash:

Code Compression

For example, this code:

Will be compressed to:

[!NOTE] This is an experimental feature that we'll be actively improving based on user feedback and real-world usage

MCP Server Integration

Configuring MCP Servers

To use Repomix as an MCP server with AI assistants like Claude, you need to configure the MCP settings:

For VS Code:

You can install the Repomix MCP server in VS Code using one of these methods:

Using the Install Badge:

Using the Command Line:

For VS Code Insiders:

For Cline (VS Code extension):

Edit the cline_mcp_settings.json file:

For Cursor:

In Cursor, add a new MCP server from Cursor Settings > MCP > + Add new global MCP server with a configuration similar to Cline.

For Claude Desktop:

Edit the claude_desktop_config.json file with similar configuration to Cline's config.

Once configured, your AI assistant can directly use Repomix's capabilities to analyze codebases without manual file preparation, making code analysis workflows more efficient.

Available MCP Tools

When running as an MCP server, Repomix provides the following tools:

pack_codebase: Package a local code directory into a consolidated file for AI analysis

Parameters:

pack_remote_repository: Fetch, clone and package a GitHub repository

Parameters:

read_repomix_output: Read the contents of a Repomix output file in environments where direct file access is not possible

Parameters:

Features:

file_system_read_file: Read a file using an absolute path with security validation

Parameters:

Security features:

file_system_read_directory: List contents of a directory using an absolute path

Parameters:

Features:

Configuration

Create a repomix.config.json file in your project root for custom configurations.

Here's an explanation of the configuration options:

[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]
[object Object]	[object Object]	[object Object]

The configuration file supports JSON5 syntax, which allows:

Comments (both single-line and multi-line)

Trailing commas in objects and arrays

Unquoted property names

More relaxed string syntax

Example configuration:

Global Configuration

To create a global configuration file:

The global configuration file will be created in:

Windows: %LOCALAPPDATA%\Repomix\repomix.config.json

macOS/Linux: $XDG_CONFIG_HOME/repomix/repomix.config.json or ~/.config/repomix/repomix.config.json

Note: Local configuration (if present) takes precedence over global configuration.

Include and Ignore

Include Patterns

Repomix now supports specifying files to include using glob patterns. This allows for more flexible and powerful file selection:

Use **/*.js to include all JavaScript files in any directory

Use src/**/* to include all files within the src directory and its subdirectories

Combine multiple patterns like ["src/**/*.js", "**/*.md"] to include JavaScript files in src and all Markdown files

Ignore Patterns

Repomix offers multiple methods to set ignore patterns for excluding specific files or directories during the packing process:

.gitignore: By default, patterns listed in your project's .gitignore files and .git/info/exclude are used. This behavior can be controlled with the ignore.useGitignore setting or the --no-gitignore cli option.

Default patterns: Repomix includes a default list of commonly excluded files and directories (e.g., node_modules, .git, binary files). This feature can be controlled with the ignore.useDefaultPatterns setting or the --no-default-patterns cli option. Please see defaultIgnore.ts for more details.

.repomixignore: You can create a .repomixignore file in your project root to define Repomix-specific ignore patterns. This file follows the same format as .gitignore.

Custom patterns: Additional ignore patterns can be specified using the ignore.customPatterns option in the configuration file. You can overwrite this setting with the -i, --ignore command line option.

Priority Order (from highest to lowest):

Custom patterns ignore.customPatterns

.repomixignore

.gitignore and .git/info/exclude (if ignore.useGitignore is true and --no-gitignore is not used)

Default patterns (if ignore.useDefaultPatterns is true and --no-default-patterns is not used)

Custom Instruction

Here's an example of how you might use this feature:

Create a file named repomix-instruction.md in your project root:

In your repomix.config.json, add the instructionFilePath option:

When Repomix generates the output, it will include the contents of repomix-instruction.md in a dedicated section.

Put long-form data at the top: Place your long documents and inputs (~20K+ tokens) near the top of your prompt, above your query, instructions, and examples. This can significantly improve Claude's performance across all models. Queries at the end can improve response quality by up to 30% in tests, especially with complex, multi-document inputs.

Comment Removal

Supported languages include:HTML, CSS, JavaScript, TypeScript, Vue, Svelte, Python, PHP, Ruby, C, C#, Java, Go, Rust, Swift, Kotlin, Dart, Shell, and YAML.

Note: The comment removal process is conservative to avoid accidentally removing code. In complex cases, some comments might be retained.

Security Check

Example output:

By default, Repomix's security check feature is enabled. You can disable it by setting security.enableSecurityCheck to false in your configuration file:

Or using the --no-security-check command line option:

[!NOTE] Disabling security checks may expose sensitive information. Use this option with caution and only when necessary, such as when working with test files or documentation that contains example credentials.

Using Repomix as a Library

In addition to using Repomix as a CLI tool, you can also use it as a library in your Node.js applications.

Installation

Basic Usage

Process Remote Repository

Using Core Components

If you need more control, you can use the low-level APIs:

For more examples, check the source code at website/server/src/remoteRepo.ts which demonstrates how repomix.com uses the library.

Contribution

We welcome contributions from the community! To get started, please refer to our Contributing Guide.

Contributors

Privacy Policy

Repomix CLI Tool

Data Collection: The Repomix CLI tool does not collect, transmit, or store any user data, telemetry, or repository information.

Network Usage: Repomix CLI operates fully offline after installation. The only cases where an internet connection is needed are:

Security Considerations: Since all processing is local, Repomix CLI is safe to use with private and internal repositories.

Repomix Website ([repomix.com](https://repomix.com/))

Data Collection: The Repomix website uses Google Analytics to collect usage data, such as page views and user interactions. This helps us understand how the website is used and improve the user experience.

Liability Disclaimer

License

This project is licensed under the MIT License.